huige233/SD_Chinese_FAQ.md

## SD_Chinese_FAQ.md

      
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    关于 AUTOMATIC1111/stable-diffusion-webui 的 FAQ

该 FAQ 并非意图一次性提供所有必要信息, 仅仅是提供必要的指路. 最后的杂项部分是宝藏区, 建议都翻翻看啦!
搭建

看官方文档或者 VOLDY RETARD GUIDE或者としあきdiffusion (强烈建议都通读一遍)
中文教程见 sudoskys/StableDiffusionBook.
如果以上教程都不想看, 为什么不试试这个超小白教程呢?
显卡生成黑色/绿色图

16 系显卡不支持半精度/混合精度

Green or Black screen
启动参数加 --precision full --no-half, 要省显存还能加 --medvram
使用 VAE 之后偶尔出现黑图

--no-half-vae can solve this? haven't tested yet (commit)
git 报错

HTTP_PROXY 和 HTTPS_PROXY 环境变量. 或者用 proxychains. 或者路由器跑代理. 或者把 git clone 的仓库源换成 huggingface 的
pip 慢

设镜像或者挂代理
Token 最大数量修改

最新的版本已经自动增长 token 数量, 无需做任何操作 (除了 git pull)
仍然不建议超过 75 token, 但是你确实可以 (PR merged)
仍然建议学 prompt engineering, 可以看 WD 关于 prompting 的介绍, 基于 tags 的 prompt 对基于 booru 的数据集来说确实有优势 (still I prefer the tradtional way to do it) (更多教程见最后杂项部分)
效果不如 NovelAI 官方网站

(不觉得官方的画风太无趣了么?)
加 negative prompt, 加载 hypernetwork 和 vae. (见 Hypernetwork 一节)
Stop At last layers of CLIP model ignore last layers of clip mode 改成 2: 见这里, 不能套其他模型, 这是 NovelAI 专属 hack  (commit)

甚至我会说Novel AI模型skip 0 1 都是玄学，只有2才是正确食用方式

prompt 加上 masterpiece, best quality 有奇效, 见 Emulate NovelAI (I don't like it personnally)
还记得泄露的文件夹里边有个 config.yaml 么? 将其改名为 模型前缀.yaml 和模型丢在一起就能加载啦, 效果还是有提升的. (commit)
NovelAI 默认 Negative Prompt source
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
部分 negative prompt 有做训练时数据集标注 (像是 bad anatomy 和 bad hands 以及 error. 这些在 Danbooru 都有实际标记的 tag. 故请使用那些正确的 tag.
其他提高质量的 negative token 属于玄学范畴. 我会说 negative propmt 的提升和 positive prompt 一样甚至更加重要. 同样的一个正面 prompt 在有和没有 negative prompt 生成的效果有天壤之别, 所以请不要吝啬. 但是也不要走向另一个极端叠 buff, 这会让你的图像看起来 less interesting.
其他 Negative Prompt 示例
((part of the head)), ((((mutated hands and fingers)))), deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, Octane renderer

lowres, bad anatomy, bad hands, text, missing fingers, worst quality, low quality, normal quality, signature, watermark, blurry

ugly, fat, obese, chubby, (((deformed))), [blurry], bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), messy drawing,  2girls, morbid, mutilated, tranny, trans, trannsexual,  [out of frame], (bad proportions), octane render, unity, unreal, maya, photorealistic
Emulate NovelAI 里面还给出了其他 hacks, 像是改 eta (What are "Sampler Parameters"?)

NAI preset seed: 31337 emulates strenght:0.69, noise: 0.667.

其他模型


Stable Diffusion Models
Stable Diffusion DreamBooth Models

别抱着 NovelAI 泄露的模型不放, 那玩意虽然 consistent 但是结果看多了挺无趣的, 为什么不试试混合 (merge) 模型呢? (have a try but don't be too serious)
Fine Tune

原模型认识的概念(但不知道怎么表达)就 Textual Inversion, 风格化就炼 hypernetwork, 不认识的概念就 DreamBooth.

更多
我瞎吹的, 我自己配置不行没试过任何 Fine Tune, 请参照其他教程
Note for me: memory_efficient_dreambooth

Embeddings/Textual Inversion

见 Textual Inversion
丢到 embeddings 文件夹, prompt 提到你要用的 embedding 的文件名即可

it should not be possible to run this with --lowvram and --medvram flags.(这应该是在说training，inference不用管)

reports that training with medvram is possible.
想要找现成的 TI embedding? 看看 list of Textual Inversion embeddings for SD. (不过里边用泄露版 NovelAI 模型做 TI 的没有, 也能试试?)

Unload VAE and CLIP from VRAM when training

训练指南 RETARD'S GUIDE TO TEXTUAL INVERSION
Hypernetwork

见 Move Hypernetworks and Model selection underneath "Generate"
你的 models 文件夹应该是这样的
./models
├── Codeformer
├── ESRGAN
├── GFPGAN
├── hypernetworks
│   ├── aini.pt
│   ├── anime_2.pt
│   ├── anime_3.pt
│   ├── anime.pt
│   ├── furry_2.pt
│   ├── furry_3.pt
│   ├── furry_kemono.pt
│   ├── furry_protogen.pt
│   ├── furry.pt
│   ├── furry_scalie.pt
│   ├── furry_transformation.pt
│   └── pony.pt
├── LDSR
├── Stable-diffusion
│   ├── final-pruned.ckpt -> novelai 的 model.ckpt (pruned)
│   ├── final-pruned.vae.pt -> novelai 的 animevae.pt
│   ├── final-pruned.yaml -> model.ckpt 同文件夹的 config.yaml
│   └── 其他模型文件.ckpt
└── SwinIR
启动 cli 有提示加载就 OK, 去设置选模型那里选喜欢的 hypernetwork.
你也可以自己训练 Hypernetwork 了, 见 Hypernetwork training. 我相信很快就能下载到不少艺术家风格的 hypernetwork.

かにv2 (分流 パス800)

这里是训练指南 Hypernetwork training for dummies.
可以指定不同阶段时的 learning rate 了 commit

Unload VAE and CLIP from VRAM when training

参数解释


step: 迭代多少次, 取值和 sampling method 有关, DDIM 收敛较快, 见 Sampler vs. Steps Comparison (low to mid step counts)  我用 DDIM 取 20 够了.
batch count/batch size: 决定生成的图片数量, 显存够就加 batch size, 不够就 batch count, 得到的图片数量是两者之积 (小显存还是只动 count 就好)
sample method: 我无脑 DDIM, Eula 也挺好用? (带 a 的是 ancestral 的意思, step 增长出图不稳定)
cfg scale: 符合 prompt 的程度, 值越高越会字面看待 prompt, 低则给模型较大的发挥空间, 但是实际模型表现上来看 cfg scale 低 (6-8) 饱和度低, 偏线稿, 偏杂乱, 高 (18-22) 则饱和度偏高, 偏 CG 风格.
denoise strength: img2img 专属参数, 从 0 到 1 取值, 值越高 AI 对原图的参考程度就越低 (同时增加迭代次数), 我个人喜欢低 cfg 高 denoise 重绘图, 高 cfg 低 denoise 改细节.


Euler a (short for ancestral) produces great variety with a low number of steps, but it's very difficult to make small adjustments. The non-ancestral samplers all produce mostly the same images as the number of steps increases, use Euler if you're unsure. (source)

Can anyone offer a little guidance on the different Samplers?
Sampling method selection
关于 cfg 和 denoise strength 有张好图可以说明. 原图为Lenna. (XY plot 大图分流)

不过这些参数都能自己用 XY plot 跑
增强 prompt

见 Attention/emphasis
和 NovelAI 语法不同, 用 () 增强, 减弱仍然是 [] (但强度不同, AUTOMATIC1111 为 1.1倍, NovelAI 为 1.05 倍)
a (word:1.5)  # token 强度乘上 1.5  (增强) 约为 ((((word)))) (1.1^4 = 1.4611)
a (word:0.25) # token 强度乘上 0.25 (减弱) 约为 [[[[[[[[[[[[[[word]]]]]]]]]]]]]]]] (1/1.1)^14 = 0.263331254
a \(word\)    # 用 \ escape 掉括号, 用于你真的想用括号作为 token 的一部分的时候 (常见于人物)
Prompt Editing/Mixing

Prompt Editing 生成时实时调整 prompt 比重. 同时也能起到低 token 数的同时使得画面更有多样性.
# when 小于 1 是百分比, 大于 1 是确切的 step 数目
[from:to:when] # 从 from 来, 到 to 去, 于 when 时开始
[to:when]      # 从 when 时加上 to   (一开始没有该 token)
[from::when]   # 从 when 时拿去 from (一开始有该 token)
示例 prompt 透明雨衣
[lewd:assertive:0.3] small sweat [nude::0.8] [nipple::0.95] 1girl with disheveled messy atmosphere cherry bloom hair sitting in white [((((translucent)))):((transparent)):0.9] [hoodie:trench coat :0.4] liquid crystal [((transparent)) sailor dress::0.7] indoor inside [vehicle], [downpour raining:0.5] [nightclub:cyberpunk:0.3] city, public crowd

Negative prompt: ugly, fat, obese, chubby, (((deformed))), [blurry], bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands fingers), messy drawing, morbid, mutilated, tranny, trans, trannsexual, [out of frame], (bad proportions), (poorly drawn body), (poorly drawn legs), worst quality, low quality, normal quality, text, censored, gown, latex, pencil
PS: 我在想有没有类似 {word:step_start:step_end} 的等价替代, 可以让更灵活地替换 prompt.
import modules.prompt_parser
modules.prompt_parser.get_learned_conditioning_prompt_schedules(['abc [:[x::0.3]:0.17] def'],100)
Out[53]:
[[
  [17, 'abc  def'],
  [30, 'abc x def'],
  [100, 'abc  def']
]]

#  0-16 'abc  def'
#  17-29 'abc x def'
#  30-100 'abc  def'
[:[word::end]:start] 是中间某步加 prompt 的正确语法 (真他娘怪)
NovelAI 的 prompt mixing

NovelAI 的思路截然不同, 它并不是指定加入或者去除 token 的步数, 而是对 整个 prompt 进行融合, 注意是整个完整的 prompt (理论上也可以用在单个或者部分 token 但是他们没这么写), 可能是懒得写分词 (加个括号的事情).
权重可以取 0.1 至 100 (why?). 权重可为负数但 -1 时输出黑色图.
prompt_a:weight_a|prompt_b:weight_b|prompt_c:weight_c 
# 以此类推
# 完整 prompt 见个人 prompt 的枪娘部分
pointing at viewer:0.1 | upper body {{{fang}}} 1girl  aiming at viewer holding handgun {{muzzle flash}} in black serafuku red ribbon [[black leather gloves]] {dual wielding}, cyberpunk city
NovelAI 并没有 AUTOMATIC1111 版本的 Prompt Editing 的完全等价替代, 不过这也已经能增加一部分多样性了. (仍然不够灵活, 我希望可以将两者结合起来)
具体实现见源码 (日后官方可能会有改动)
PS: 理论上把 stable-diffusion-private 替换到 AUTOMATIC1111 的 repositories/stable-diffusion 下也能实现?
Composable Diffusion

Composable-Diffusion Compositional Visual Generation with Composable Diffusion Models
See commit.
Wait for Implement multi-cond guidance for Composable Diffusion to merge.
自定义脚本

Custom Scripts
放到 scripts 文件夹下, 加上 --allow-code 参数启动, 有啥脚本自己去原帖看一下啦!
v2.pt 相关

NOT interesting. DO NOT recommend to try it.

“vae make images mostly flat and clean (sometimes more simple in small details), v2 is actualy change it simialr to hypernetworks (sometimes make it worse, especially in combination with aini.pt)”

见安装教程 (English)
xformers

见 xformers, 加速推理, 对质量影响未知, 分辨率越高加速效果越好, 见 What does the new xformers update mean?
在 Windows 上编译似乎比较麻烦 (I'm running Linux anyway) 这里有 prebuilt 的版本, 不知道是不是给 Windows 用的.  Windows version installs binaries mainained by C43H66N12O12S2. (only for Ampare) (source) (30 系之外要自己编译)
30 系显卡正常启动 --xformers, 其他显卡 --force-enable-xformers
逗号用得越少越好, 除非要明确不同主体

Aside from your wheel not working with older architectures, is there a reason to drop pre-Ampere support? No. (source)

我自己是用 pip install -U setuptools 装最新版 setuptools 才编译成功的 (python 3.10)
Image 逆向 Prompt


Interrogate CLIP (在 img2img 标签中, 出来的描述偏 SD 原版自然语言)
DeepDanbooru 审问出来的是 tags. 加上 --deepdanbooru 作为启动参数 (commit)
LenKiMo_Bot 闭源, 后端未知, 不过效果不错

高分辨率下出怪图

我原本以为是低显存触发 split attention 会这样, 不过似乎不管显存高低高分辨率都容易出怪东西.
群友的修复方法 (source)


使用 —medvram 或者 —lowvram 参数启动webui
正常输入 prompt，选择较小分辨率生成图片。记住你生成图片的分辨率。生成完毕之后，复制图片的Seed。
重点来了！生成完毕后，先查看图片是否满意。如果效果满意，直接将图片扔进Img2img。可点击“Send to img2img”。
在img2img界面底部，有一 Script 选项。将 Script 选为 SD Upscale，里面的 Tile overlap 尽量调小。
一般地，扔进Img2img的图，会继承原txt2img的所有prompt和negative prompt。如果你发现prompt有变动，回到txt2img，复制prompt到img2img。
选择合适的Sampling Steps和Sampling method。
确认你的 Width 和 Height 与原图一致。这一步非常重要！这里的 Width 和 Height 是超分时 img2img 的图片分割大小，如果不合适会导致出现重叠问题。
将第 2 步复制的 Seed 填入img2img的 Seed 里。
Generate！


或者用 highres-fix

By default, txt2img makes horrible images at very high resolutions, and this makes it possible to avoid using the small picture's composition.

使用CPU进行炼丹

根据此 pr
可以通过 --use-cpu all 尽可能的使用CPU进行生成
多 GPU


Multi-GPU support?
How to allocate memory from 2nd GPU?

临时解决办法, 开多个实例, 每个实例指定 GPU.
Notes/Tips


nvidia-smi 查看显存占用
pnginfo 查看内嵌 prompt 信息
Change UI Defaults
Generate 右键可以一直生成一直爽 (PR)

如何写 Prompt

AI 画图要是还要 AI 生成 Prompt 那身为人类的我们不就是只会点击鼠标的工具么?
TODO
Tips


逗号用得越少越好, 除非要明确不同主体

有意思的玩法


用 Daz Studio 或者 MikuMikuDance
之类的三维软件摆好姿势, 生成的图像送给 img2img. (新时代三渲二)
Dream Texture 优化 3D 创造工作流
健全图片用 img2img 脱衣服 (画差分), 见智乃脱衣过程
用 outpainting 扩展图片

个人用 Prompt

注意这些 prompt 只能在 AUTOMATIC1111 的 WebUI 中使用 (因为用了 mixing 语法) 请勿直接丢到 NovelAI 出图, 质量不做保证.
肏桌子
solo seductive small sweat blush 1girl masturbation against [desk] standing (((orgasm))) opalescent eyes with disheveled messy white [rainbow] streaked hair [in open shirt:with white pantie:0.5] in indoors, hydrophobic wet cream dripping [pussy] ejaculation squirting, presenting, looking at viewer, fluorescent cyberpunk city, radiant [infrared:ultraviolet:0.5] blacklight accent lighting
Negative prompt: ugly, fat, obese, chubby, (((deformed))), [blurry], bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), messy drawing, morbid, mutilated, tranny, trans, trannsexual, [out of frame], (bad proportions), (poorly drawn body), (poorly drawn legs), worst quality, low quality, normal quality, text, censored, sitting, chair, big large medium huge breasts, full
枪娘
upper body (fang:1.1) 1girl [(pointing at viewer:1.3):(aiming at viewer:1.5):0.38] (muzzle flash:1.1) (holding:1) [(handgun:1.1):(revolver:1.6):0.8] in black serafuku red ribbon (black leather gloves:0.89) dual wielding, floating bullet, cyberpunk city
Negative prompt: bad anatomy, bad hands, text, missing fingers, signature, watermark, blurry, deformed, [blurry], bad anatomy, disfigured, poorly drawn face, mask, glasses, (mouth mask), camera

# NovelAI 语法 (见上文 prompt mixing) (感觉这个出图更 consistent)
pointing at viewer:0.1 | upper body {{{fang}}} 1girl aiming at viewer holding handgun {{muzzle flash}} in black serafuku red ribbon [[black leather gloves]] {dual wielding}, floating bullet, cyberpunk city
透明雨衣, 见 Prompt Editing/Mixing 一节
VR 眼镜
sweat flat nude (fang) 1girl in (vr headset) sitting [spread legs:m legs:0.6] masturbation (orgasm) [shake hips] ((with machine)) white thighhighs, [(dildo): (viberator):0.6], party ((in front of a large crowd)), (wet pussy), [white wet cream dripping fluid]
Negative prompt: lowres, bad anatomy, bad hands, text, missing fingers, worst quality, low quality, normal quality, signature, watermark, blurry, eyes
吸烟
# ((飞机耳)) 加个玄学 token, 虽然没有兽耳
[(:o:0.5):0.3] 1girl [(hand on hips:0.8):(hand in pockets:1):0.35] standing smoking in black serafuku pleated skirt red ribbon, fire lighter, [pocky :0.05] cigarette in mouth, steam, 3/4
Negative prompt: lowres, bad anatomy, bad hands, text, error, cropped, worst quality, low quality, normal quality, blurry, deformed, ugly, full, long fingers, multiple
章鱼娘
# 注: イカ 是章鱼, 而 イカ耳 却是飞机耳 (why?) 
# 这展现了 SD 是可以理解多语言的 (理解了, 又没完全理解)
(イカ耳:1.8) cat ears 1girl toast in mouth late for school
Negative prompt: lowres, bad anatomy, bad hands, text, error, cropped, worst quality, low quality, normal quality, blurry, deformed, ugly, full, long fingers
精液浴
# 前两天一直有人在问就来调一下, 怎么那么简单的东西怎么都调不出来. 
# seman Stable Diffusion 不认, cum 认但是只会到身体或者少量滴在地板, 唯一的思路就是 fluid, 很多很多的 fluid
nude 1girl [reclining:bath:0.6] [urinal:bathtub:0.6] in (wet cream white [translucent:0.6] [goo:fluid:0.4]:1.5), cum on body face , (wet cream dripping pussy:1.2)
Negative prompt: lowres, bad anatomy, bad hands, bad legs, text, error, cropped, worst quality, extra arms, ((extra legs)), low quality, normal quality, blurry, deformed, ugly, full, latex, bodysuit, leather

(Sampler: DDIM, CFG scale: 6), Model hash: e6e8e1fc, Clip skip: 2
白浊液喷尿高潮 (比上面的更色了)
# 不要害怕 token 重复, 你觉得某样东西很重要肯定要重复, 比如说那黄色的圣水
(nude:1.1) sweat sweatdrop small breasts nipples 1girl [reclining:bath:0.8] [(urinal:1.1):(bathtub:1.1):0.65] (orgasm:1.2) (peeing:1.2) (female ejaculation:1.1) (pee:1.4) in [(wet cream white [translucent:0.6] [goo:fluid:0.5]:1.5):((golden:1.3) [translucent:transparent:0.75] pee fluid oil:1.5):0.7], [(golden:1.3) water wet [translucent:transparent:0.8] pee fluid fluidity oil:1.1):0.7], cum on body face, female ejaculation (wet cream dripping pussy:1.2)
Negative prompt: lowres, bad anatomy, bad hands, bad legs, text, error, cropped, worst quality, extra arms, ((extra legs)), low quality, normal quality, blurry, deformed, ugly, full, latex, bodysuit, leather, silk, futa, trans, trannsexual, [[[dress]]], [[[pantie]]], [[clothes]], [[towel]], [[[[slime]]]]

(Sampler: DDIM, CFG scale: 6), Model hash: e6e8e1fc, Clip skip: 2
掀裙放尿
# 金色大厅版本 (写错语法了但是效果意外不错?)
disheveled messy (fang:0.9) [long hair:0.9] [(two side up:1.1)::0.8] flat breasts 1girl [with heterochromia multicolored red eyes::0.8] in black red ribbon sailor dress (white socks:0.9) (peeing:1.4) standing on liquid female [(ejaculation:0.6)::0.9] orgasm, ([lifted by self:lift dress:0.4]:1.3), (wet cream dripping [cum in::0.9] pussy:1), [(dripping golden (transparent:0.7) pee (oil:0.4) water fluid :1.6) from pussy::0.85], (golden fluid [on the ground::0.9]:0.6), no panties, [American shot::0.3], [cowboy shot::0.35]
Negative prompt: lowres, bad anatomy, (bad hands), bad leg, bad proportions, bad perspective, text, missing fingers, extra digit, fewer digits, worst quality, low quality, normal quality, blurry, comic, emphasis lines, futanari, futa, erection, 1boy, missing limb, extra legs, slime, [extra hands arms], [mutation], [2girls], [yuri], [sitting], lying, ((closeup)), lower body, large breasts, (breasts out:1), gown, latex, pencil

# 正常放尿
disheveled messy (fang:0.9) [long hair::0.9] [(two side up:1.2):0.7] flat breasts 1girl [with heterochromia multicolored red eyes:0.8] in black red ribbon sailor dress (white socks:0.9) (peeing:1.4) standing on liquid female orgasm, ([lifted by self:lift dress:0.4]:1.3), (wet cream dripping [cum in:0.8] pussy:1), [(dripping golden (transparent:0.7) pee (oil:0.4) water fluid :1.6) from pussy:0.8], (golden fluid [on the ground::0.9]:0.6), no panties, [American shot::0.3], [cowboy shot::0.35]
Negative prompt: bad anatomy, (bad hands), bad leg, bad proportions, bad perspective, text, missing fingers, extra digit, fewer digits, worst quality, low quality, normal quality, blurry, comic, emphasis lines, futanari, futa, erection, 1boy, missing limb, extra legs, slime, [extra hands arms], [mutation], [2girls], [yuri], [sitting], lying, ((closeup)), lower body, large breasts, (breasts out:1), gown, latex, pencil
咬裙子, 超级涩!
# 感谢群内大佬 @TLMEMO 的 prompt, 我愿称您为顶级魔法师
# 原始 prompt
# masterpiece,best quality,solo a girl lift her dress on mouth and use mouth bite the dress,clothes in mouth,navel,pussy

# 金色大厅版本 (写错语法了)
dishevled messy [long hair:0.9] [(two side up:1.1)::0.6] small breasts 1girl [with heterochromia multicolored red eyes::0.8] lift her [long shirt:dress:0.4] on mouth and use mouth bite the [long shirt:dress:0.4] standing on liquid female [(ejaculation:0.6)::0.9] , [mouth hold:(dress lift:0.1) with mouth:0.7], (wet cream dripping [cum in::0.9] pussy:1), [(dripping golden (transparent:0.7) pee water fluid :1) from pussy::0.85], (golden fluid:0.6), breasts out nipples, navel, [(panty pull:0.6)::0.8], [American shot::0.3], [cowboy shot::0.35]
Negative prompt: lowres, bad anatomy, (bad hands), bad leg, bad proportions, bad perspective, text, missing fingers, extra digit, fewer digits, worst quality, low quality, normal quality, blurry, comic, emphasis lines, futanari, futa, erection, 1boy, missing limb, extra legs, slime, [extra hands arms], [mutation], [2girls], [yuri], ((closeup)), lower body, large breasts, gown, latex, pencil, bodysuit, swimsuit, vomiting, (handkerchief:0.8), sandwich, (cum in mouth:1.2)

# 修正后
dishevled (:3:0.1)messy [long hair:0.9] [(two side up:1.1)::0.6] small breasts 1girl [with heterochromia multicolored red eyes:0.8] lift her [long shirt:dress:0.4] on mouth and use mouth bite the [long shirt:dress:0.4] standing on liquid female [(ejaculation:1):0.8] , [mouth hold:(dress lift:0.1) with mouth:0.7], (wet cream dripping [cum in::0.9] pussy:1), [(dripping golden (transparent:0.7) pee water fluid :1.6) [between legs:from pussy:0.95]:0.9], (golden fluid:0.6), breasts out nipples, navel, no panties, [American shot::0.3], [cowboy shot::0.35]

# 无放尿版 (更加 consistent?)
dishevled messy [long hair:0.9] [(two side up:1.1)::0.6] small breasts 1girl [with heterochromia multicolored red eyes::0.8] lift her [long shirt:dress:0.3] on mouth and use mouth bite the [long shirt:dress:0.3] standing on liquid female [(ejaculation:0.8)::0.8] , [teeth hold:(dress lift:0.1) with mouth:0.7], (wet cream dripping (cumdrip:1.2) [cum in::0.9] pussy:1), (golden fluid:0.6), breasts out nipples, navel, [(panty pull:0.6)::0.8], no panties,[American shot::0.3], [cowboy shot::0.35]
Negative prompt: lowres, bad anatomy, (bad hands), bad leg, bad proportions, bad perspective, text, missing fingers, extra digit, fewer digits, worst quality, low quality, normal quality, blurry, comic, emphasis lines, futanari, futa, erection, 1boy, missing limb, extra legs, slime, [extra hands arms], [mutation], [2girls], [yuri], ((closeup)), lower body, large breasts, gown, latex, pencil, bodysuit, swimsuit, vomiting, (handkerchief:0.8), sandwich, no pantie, (cum in mouth:1.2), (gag:0.8), fellatio
Miscellaneous


VOLDY RETARD GUIDE
としあきdiffusion
SDG FAQ
AIBooru
Larger resolutions with Stable Diffusion (upscale guide)
Danbooru Wiki (for searching tags)
StableDiffusion Show (Telegram)
openart.ai
lexica (SD search engine)
Inpainging & Outpainting
Aesthetics Wiki like a style guide
Stable Diffusion DreamBooth Models
Tags 中英对照表 (prefer wiki if you know English) (source)
NovelAI法术书
E-Hentai/ExHentai TAGs 中文翻译
MidJourney-Styles-and-Keywords-Reference
Artists, Keywords, Art styles known to work with text to image
Stable Diffusion Akashic Records
SD GUIDE FOR ARTISTS AND NON-ARTISTS IN-DEPTH TIPS, TRICKS, TUTORIALS AND MORE
A Guide to Writing Prompts for Text-to-image AI
Tools and Resources for AI Art
SD RESOURCE GOLDMINE
Image Synthesis Style Studies Database (The List)
NovelAI 5ch Wiki NovelAIのPromptsを収集するWikiです
SD Artist Study
Dreamer's Guide to Getting Started w/ Stable Diffusion!
Stable Diffusion Conceptualizer
Stable Diffusion - InstallGentoo Wiki
Awesome Stable-Diffusion
SD Training Labs (Discord)
Some random logs in 2chan
Hentai Diffusion General (4chan) (Archived, find the latest thread by yourself)
Stable Diffusion General (4chan)
AIに絵を描いてもらって適当に貼って適当に雑談するスレ (二次元裏 MAY) (2chan thread) (You know the thread will be deleted so find the archived by yourself. )

Off Topic

NAIFU: NovelAI AI Image Frontend Ultimate

生成老婆效果确实好, 官方的调教十分讨喜, but I think it's too boring. 不知道为什么, 会吞我的 prompt 的 token, 说不定是和自然语言叙述有关, 但是有的 prompt 又惊奇地出色.
(one point for WebUI)
solo seductive sweat 1girl masturbation against [desk] standing ((orgasm)) opalescent eyes with disheveled messy white [rainbow] streaked hair in open shirt with white pantie in indoors, [hydrophobic wet cream dripping pussy] ejaculation squirting, presenting, looking at viewer, fluorescent cyberpunk city, radiant ionochromism [infrared:ultraviolet:0.5] blacklight accent lighting

Negative prompt: ugly, fat, obese, chubby, (((deformed))), [blurry], bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), messy drawing, morbid, mutilated, tranny, trans, trannsexual, [out of frame], (bad proportions), (poorly drawn body), (poorly drawn legs), worst quality, low quality, normal quality, text, censored, sitting, chair, big large medium huge breasts, full
(one point for NAIFU)
solo seductive cute cat ears loli girl in black school uniform serafuku pleated skirt with silver long twintails hair in white thighhighs, public street sea, female masturbation, {female ejaculation} {{orgasm}}, blush, {presenting}, {exhibitionism}, intricate details {{uncensored spread pussy vagina}}, suggestive {fluid}, erotic, sexually suggestive, cinematic lighting.

Negative: lowres, bad anatomy, bad hands, text, missing fingers, worst quality, low quality, normal quality, signature, watermark, blurry
差距是在的, 但是我会说这种差距是风格问题了.
注: 下载磁力链接位于 NovelAI 原版网页UI+后端部署教程. 来源 4chan.

Tips


保存在本地需要设置环境变量 SAVE_FILE=1 (True也行)

懒人包相关

懒人包是不建议被使用的, 欲 troubleshooting 请联系其作者.
懒人包改 Git 仓库进行更新

感谢 huige233 的贡献.
第一步

打开你的懒人包目录

第二步

在路径栏输入cmd

第三步

在打开的cmd窗口内输入git pull

若提示'git'不是内部或外部命令

请下载一个 git
然后再执行第三步的步骤
第四步（如果在第三步看到了error请看第四步以及下面的步骤）

先将error内提示的文件保存一份
然后依次在cmd内输入
git fetch --all
git reset --hard origin/master
git pull
完成后把保存的文件放回原本的地方
完成更新